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Differential diagnosis and proper treatment of acute rhinosinusitis: Guidance based on historical data analysis

机译:急性鼻鼻窦炎的鉴别诊断和正确治疗:基于历史数据分析的指导

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Background: The time course of rhinovirus positive and negative rhinosinusitis has not been quantified yet, which aggravates proper selection and justification of the optimum treatment for this illness. Such quantitative information would facilitate an early and proper identification of the disease and its differentiation from acute bacterial rhinosinusitis, and could diminish harmful overuse of antibiotics, arguably driven by patients' want for attention and the treating physicians' inability to offer an adequate verbal comfort in its stead. Objective: Extraction of the quantitative information needed to identify rhinovirus positive or negative rhinosinusitis and to allow selection of the most appropriate treatment from the published time dependence of individual clinical symptoms of the disease. Methods: Scrutiny (and modeling) of temporal evolution of all noteworthy symptoms of rhinosinusitis with a simple mathematical expression that relies on two adjustable parameters per symptom (and potentially a general time offset as an extra adjustable parameter). Results: Adverse effects of rhinosinusitis can be grouped according to the sequence of their exponential appearance and ~2.6 times slower exponential disappearance, rhinovirus negative rhinosinusitis generally improving ~25% faster and being ~40% less severe. The major early local symptoms (throat soreness and scratchiness, headache) vanish with a half-life of ~1.8 days, whereas further local symptoms take ~1.6 times longer to disappear. At least 50‐60% improvement of two prominent early symptoms, sore throat and sneezing (but not of nasal discharge, cough, and hoarseness) by day 5 of the disease implies a nonbacterial origin of rhinitis and should exclude use of antibiotics. Conclusion: Temporal evolution of all rhinosinusitis symptoms is qualitatively similar, which makes the early symptom decay a good proxy for, and predictor of, the disease perspective. Knowing a symptom intensity at just three to four time points suffices for reconstructing its entire time course and total intensity or gravity. This permits an easy and early identification of rhinosinusitis, and its plausible differentiation from acute bacterial rhinosinusitis, disease treatment optimization, and corresponding clinical trials simplification and/or shortening.
机译:背景:鼻病毒阳性和阴性鼻鼻窦炎的时程尚未确定,这加剧了对该疾病的最佳治疗的正确选择和合理性。这样的定量信息将有助于及早和正确地识别该疾病及其与急性细菌性鼻鼻窦炎的区别,并可以减少有害的抗生素过度使用,这可能是由于患者的注意力缺乏和治疗医师无法为患者提供足够的言语安慰所致。它代替。目的:提取鉴别鼻病毒阳性或阴性鼻鼻窦炎并允许从已发表的疾病个别临床症状的时间依赖性中选择最合适的治疗方法所需的定量信息。方法:用简单的数学表达式仔细检查(和建模)鼻-鼻窦炎所有值得注意的症状的时间演变,该数学表达式依赖于每个症状两个可调整的参数(以及可能作为额外的可调整参数的一般时间偏移量)。结果:鼻-鼻窦炎的不良反应可以按照其出现的顺序进行分类,并且指数消失的速度要慢约2.6倍,鼻病毒阴性的鼻-鼻窦炎的改善速度一般快于约25%,严重程度则低约40%。主要的早期局部症状(喉咙痛,and痒,头痛)消失,半衰期为〜1.8天,而进一步的局部症状则需要约1.6倍的时间才能消失。到疾病的第5天,两个明显的早期症状(咽痛和打喷嚏(但无鼻涕,咳嗽和声音嘶哑))至少改善50-60%,这表明鼻炎是非细菌性的,应排除使用抗生素。结论:所有鼻-鼻窦炎症状的时间演变在质量上是相似的,这使得早期症状消失是该疾病观点的良好替代和预测。仅在三到四个时间点知道症状强度就足以重建其整个时间过程以及总强度或重力。这使得鼻窦炎容易,早期识别,并且可以与急性细菌性鼻鼻窦炎进行合理的区分,疾病治疗的优化以及相应的临床试验的简化和/或缩短。

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